Autors: Saliev, D. N., Andreev I., R.
Title: Green time period optimization at signalized intersection in Town of Pernik
Keywords: Traffic flows, green time period, traffic optimization

Abstract: Green time period optimization is essential issue about delay time reduction at signalized intersection. The features of traffic flows are variables in rush and other period of day. Optimal values of green time are that guarantee minimum of delay time. It can be accepted that the values that guarantee that in rush period is can be use in others periods of day. The main issue is being considered in paper is green time period optimization at signalized intersection for minimum delay time according to traffic flows features in rush period. That include comparison between three options of movement diagram and two option of phases for the chosen intersection in Town of Pernik. The application of result will make a lot of benefits both for the traveling and for the environment.

References

    Issue

    TechSys2019 IOP Conference Series: Materials Science and Engineering, vol. 618, 2019, Bulgaria, ISSN 1757-899X

    Full text of the publication

    Цитирания (Citation/s):
    1. Mladenov, G., Damyanov, I., Valkovski Ts., 2021, Research and selection of parameters determining the efficiency of the braking system of cars to improve traffic safety and environmental performance, 56th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST), DOI: 10.1109/ICEST52640.2021.9483507 - 2021 - в издания, индексирани в Scopus или Web of Science
    2. G. D. Mladenov, S. P. Stoyanov; Application of methodology for the organization of a roundabout to increase the capacity of a conventional intersection of Sofia. Part II: Road traffic loading. AIP Conf. Proc. 24 April 2024; 3078 (1): 050006. https://doi.org/10.1063/5.0208260 - 2024 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в национален форум с межд. уч., публикация в реферирано издание, индексирана в Scopus и Web of Science